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Doctoral Researcher in statistical signal processing. The Structured and Stochastic Modeling Group, headed by Prof. Filip Elvander, conducts research in statistical signal processing, ranging from
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disciplines, and data science seeks to build models and extract meaningful information from large amounts of complex data. Machine learning, artificial intelligence and data-drivenness cut across all our
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tools, including 4D point cloud modeling and state-of-the-art machine learning and deep learning techniques (such as generative adversarial networks), with empirical fieldwork in Norwegian glacier
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interdisciplinary work combines advanced computational tools, including 4D point cloud modeling and state-of-the-art machine learning and deep learning techniques (such as generative adversarial networks), with
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is to apply theories, models, and methods from psychology to improve Human-AI interaction. Your network and team The Aalto Engineering Psychology Group concentrates on research in human-AI interaction
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. Integrate environmental, spatial, and social data into digital twin models for scenario testing and policy simulation. Adapt co-design methods to local contexts in demonstrator sites (Portugal, Sweden, Italy
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mental health and computational social science, using large-scale social media analysis, smartphone-based sensing, and agent-based modeling. Combining macro-level patterns with micro-level behavioral data
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interests and needs. We value work-life balance and well-being in all aspects of life. We work in a hybrid model, with the primary workplace located at the Otaniemi Campus in Espoo, Finland. Life on
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file. Applicants should enclose with their application: At Faculty of Medicine Motivation letter (Max 1 page) CV of the applicant (it is mandatory to use this attached CV model ) Structured research plan
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this attached CV model ) 3.Research plan (max 3 pages excluding references, Arial, font 12). The plan should consist of: abstract, background and significance, aims and hypotheses, implementation plan, research